Cheap AI-Assisted Reverse Engineering and What It Will Do

arXiv:2610.35633v1 Announce Type: new Abstract: Generative AI is putting the law of reverse engineering (RE) under severe strain. Existing IP and technology laws assume that RE is expensive and time-consuming, and that it requires specialized expertise. They generally allow it, but they rely on its difficulty as a filter to separate (permissible) RE from (impermissible) copying and theft. Generative AI is changing this equation by making \RE much faster, cheaper, and easier. AI systems can identify hardware components, extract firmware, decompile object code, and clone entire apps. The resulting struggle between technology vendors and reverse engineers will challenge a wide range of laws, including trade secret, copyright, anti-circumvention, computer misuse, and contract. In this article, we describe the ways in which AI is changing \RE, map these new practices onto existing laws, and sketch ways that the legal system could respond and their associated trade-offs.

AI-assisted reverse engineering challenges IP laws, potentially leading to increased copying and theft.

AI-assisted reverse engineering reduces the difficulty and cost of copying proprietary technology, weakening legal protections for IP and potentially undermining innovation incentives. This may lead to increased legal disputes and erosion of trade secrets and copyrights. The impact is significant but not necessarily catastrophic or immediate.

This is a legal-analysis preprint describing a structural shift (AI lowering RE costs) and its strain on IP law, not a measured outcome or deployed capability. The implications are plausible and important but speculative and double-edged, cutting toward both innovation risk and beneficial transparency.

The article posits that AI will dramatically reduce the cost and time of reverse engineering, challenging existing intellectual property and technology laws. This will likely lead to increased unauthorized copying and theft, creating significant legal and economic disruption for technology vendors. This is a substantive claim about a future negative impact on human flourishing.

The text describes a significant shift in reverse engineering enabled by AI. This shift challenges existing legal frameworks, potentially leading to increased intellectual property theft and misuse. The legal system's struggle to adapt suggests materially concerning implications.

SOURCE     arXiv cs.CY (Computers and Society) (tier 1)
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DOCUMENT   757797fe-6589-456d-9577-03a989de1f24
           https://arxiv.org/abs/2610.35633
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EVIDENCE   2 extracted excerpts
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MODEL RUN  5 runs, methodology 1.0.1
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SCORE      -46  (Adverse)
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CONFIDENCE 79%